On Investigating the Thermomechanical Properties of Cross-linked Epoxy Via Molecular Dynamics Analysis

被引:35
作者
Fu, Yao [1 ]
Michopoulos, John G. [2 ]
Song, Jeong-Hoon [3 ]
机构
[1] Univ Cincinnati, Dept Aerosp Engn & Engn Mech, 2850 Campus Way,Room 745 Baldwin Hall ML 0070, Cincinnati, OH 45221 USA
[2] Naval Res Lab, Computat Multiphys Syst Lab, Washington, DC 20375 USA
[3] Univ Colorado, Dept Civil Environm & Architectural Engn, 1111 Engn Dr,428 UCB, Boulder, CO 80309 USA
基金
美国国家科学基金会;
关键词
Full atomistic molecular dynamics; cross-linking; thermomechanical properties; epoxy resin; ALKYL FUNCTIONAL-GROUP; II FORCE-FIELDS; THERMOSET POLYMER; MECHANICAL-PROPERTIES; ALKANE MOLECULES; RESIN; SIMULATION; COMPOSITES; DERIVATION; NETWORKS;
D O I
10.1080/15567265.2016.1263696
中图分类号
O414.1 [热力学];
学科分类号
摘要
In this work, we demonstrate the feasibility of a computational approach based on first principles for estimating various thermomechanical quantities of a cross-linked epoxy resin. In particular, this work is focused on determining estimated values of the variation in glass transition temperature, coefficient of thermal expansion, volume shrinkage due to curing, Young's modulus, Poisson's ratio, yield strength, and viscosity as a function of temperature and degree of curing via molecular dynamics simulations. In most cases it has been demonstrated that the values predicted by the proposed approach are in good agreement with the respective experimentally measured values. In addition, the validity of the proposed models describing the dependence of the thermomechanical quantities on temperature and curing degree is examined. Throughout this study, we demonstrate that the molecular dynamics-based computational predictive framework can serve as an excellent infrastructure that can enable numerical prediction of materials properties and thereby can reduce the costs of associated with physical experimentation. In addition, we demonstrate that insightful information can be generated at the molecular and microscopic scales that is not easily extractable from experiments.
引用
收藏
页码:8 / 25
页数:18
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